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Predicting Hemiwicking Dynamics on Textured Substrates

Natarajan, Bharath; Jaishankar, Aditya; King, Mark; Oktasendra, Fandi; Avis, Samuel J.; Konicek, Andrew R.; Wadsworth, Garrett; Jusufi, Arben; Kusumaatmaja, Halim; Yeganeh, Mohsen S.

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Authors

Bharath Natarajan

Aditya Jaishankar

Mark King

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Samuel Avis sam.avis@durham.ac.uk
Post Doctoral Research Associate

Andrew R. Konicek

Garrett Wadsworth

Arben Jusufi

Mohsen S. Yeganeh



Abstract

The ability to predict liquid transport rates on textured surfaces is key to the design and optimization of devices and processes such as oil recovery, coatings, reaction-separation, high-throughput screening, and thermal management. In this work we develop a fully analytical model to predict the propagation coefficients for liquids hemiwicking through micropillar arrays. This is carried out by balancing the capillary driving force and a viscous resistive force and solving the Navier–Stokes equation for representative channels. The model is validated against a large data set of experimental hemiwicking coefficients harvested from the literature and measured in-house using high-speed imaging. The theoretical predictions show excellent agreement with the measured values and improved accuracy compared to previously proposed models. Furthermore, using lattice Boltzmann (LB) simulations, we demonstrate that the present model is applicable over a broad range of geometries. The scaling of velocity with texture geometry, implicit in our model, is compared against experimental data, where good agreement is observed for most practical systems. The analytical expression presented here offers a tool for developing design guidelines for surface chemistry and microstructure selection for liquid propagation on textured surfaces.

Citation

Natarajan, B., Jaishankar, A., King, M., Oktasendra, F., Avis, S. J., Konicek, A. R., …Yeganeh, M. S. (2021). Predicting Hemiwicking Dynamics on Textured Substrates. Langmuir, 37(1), 188-195. https://doi.org/10.1021/acs.langmuir.0c02737

Journal Article Type Article
Online Publication Date Dec 21, 2020
Publication Date 2021-01
Deposit Date Mar 18, 2021
Publicly Available Date Dec 21, 2021
Journal Langmuir
Print ISSN 0743-7463
Electronic ISSN 1520-5827
Publisher American Chemical Society
Peer Reviewed Peer Reviewed
Volume 37
Issue 1
Pages 188-195
DOI https://doi.org/10.1021/acs.langmuir.0c02737

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Copyright Statement
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Langmuir, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.langmuir.0c02737





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